Philip Hingston

Mark Wittkamp, Luigi Barone, Philip Hingston, R. Lyndon While: Real-time Evolutionary Learning of Cooperative Predator-Prey Strategies. ACSC 2012: 81-90

Philip Hingston, Tirtha R. Ranjeet, Chiou-Peng Lam, Martin Masek: A Multimodal Problem for Competitive Coevolution. Australasian Conference on Artificial Intelligence 2012: 338-349

Daniel Beard, Philip Hingston, Martin Masek: Using Monte Carlo Tree Search for replanning in a multistage simultaneous game. IEEE Congress on Evolutionary Computation 2012: 1-8

Mark Wittkamp, Luigi Barone, Philip Hingston, R. Lyndon While: Noise tolerance for real-time evolutionary learning of cooperative predator-prey strategies. CIG 2012: 25-32

Tirtha R. Ranjeet, Philip Hingston, Chiou-Peng Lam, Martin Masek: Evaluating coevolution on a multimodal problem. GECCO (Companion) 2012: 1469-1470

Jiawei Li, Philip Hingston, Graham Kendall: Engineering Design of Strategies for Winning Iterated Prisoner's Dilemma Competitions. IEEE Trans. Comput. Intellig. and AI in Games 3(4): 348-360 (2011)

Tirtha R. Ranjeet, Philip Hingston, Chiou-Peng Lam, Martin Masek: Analysis of Key Installation Protection using Computerized Red Teaming. ACSC 2011: 137-144

Tirtha R. Ranjeet, Martin Masek, Philip Hingston, Chiou-Peng Lam: The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem. Australasian Conference on Artificial Intelligence 2011: 331-340

Philip Hingston, Mike Preuss: Red teaming with coevolution. IEEE Congress on Evolutionary Computation 2011: 1155-1163

Fanchao Zeng, James Decraene, Malcolm Yoke-Hean Low, Wentong Cai, Philip Hingston: Studies on Pareto-based multi-objective competitive coevolutionary dynamics. IEEE Congress on Evolutionary Computation 2011: 2383-2390

Sung-Bae Cho, Simon M. Lucas, Philip Hingston (Eds.): 2011 IEEE Conference on Computational Intelligence and Games, CIG 2011, Seoul, South Korea, August 31 - September 3, 2011. IEEE 2011, isbn 978-1-4577-0010-1

Chang-Suk Cho, Jun-Young Park, Adrian Boeing, Philip Hingston: An implementation of a garment-fitting simulation system using laser scanned 3D body data. Computers in Industry 61(6): 550-558 (2010)

Philip Hingston: Evolving group strategies for IPD. IEEE Congress on Evolutionary Computation 2010: 1-7

Philip Hingston, Mike Preuss, Daniel Spierling: RedTNet: A network model for strategy games. IEEE Congress on Evolutionary Computation 2010: 1-9

Fanchao Zeng, James Decraene, Malcolm Yoke-Hean Low, Philip Hingston, Wentong Cai, Suiping Zhou, Mahinthan Chandramohan: Autonomous Bee Colony Optimization for multi-objective function. IEEE Congress on Evolutionary Computation 2010: 1-8

Philip Hingston: A new design for a Turing Test for Bots. CIG 2010: 345-350

Jeff Sinclair, Philip Hingston, Martin Masek, Kazunori Nosaka: Using a Virtual Body to Aid in Exergaming System Development. IEEE Computer Graphics and Applications 29(2): 39-48 (2009)

Philip Hingston, Luigi Barone: 2008 IEEE Symposium on Computational Intelligence and Games (CIG 2008) [conference report]. IEEE Comp. Int. Mag. 4(3): 8-9 (2009)

Philip Hingston: A Turing Test for Computer Game Bots. IEEE Trans. Comput. Intellig. and AI in Games 1(3): 169-186 (2009)

Philip Hingston: The 2K BotPrize. CIG 2009

Philip Hingston: Iterated Prisoner's Dilemma for species. CIG 2009: 17-24

Julian Togelius, Simon M. Lucas, Ho Duc Thang, Jonathan M. Garibaldi, Tomoharu Nakashima, Chin Hiong Tan, Itamar Elhanany, Shay Berant, Philip Hingston, Robert M. MacCallum, Thomas Haferlach, Aravind Gowrisankar, Peter Burrow: The 2007 IEEE CEC simulated car racing competition. Genetic Programming and Evolvable Machines 9(4): 295-329 (2008)

Mark Wittkamp, Luigi Barone, Philip Hingston: Using NEAT for continuous adaptation and teamwork formation in Pacman. CIG 2008: 234-242

Sadeesha Gamhewa, Philip Hingston: Testing parallelization paradigms for MOEAs. GECCO 2008: 755-756

Bhuman Soni, Philip Hingston: Bots trained to play like a human are more fun. IJCNN 2008: 363-369

Philip Hingston, Luigi Barone (Eds.): Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, CIG 2009, Perth, Australia, 15-18 December, 2008. IEEE 2008, isbn 978-1-4244-2973-8

Philip Hingston, Martin Masek: Experiments with Monte Carlo Othello. IEEE Congress on Evolutionary Computation 2007: 4059-4064

Philip Hingston: Evolving Players for an Ancient Game: Hnefatafl. CIG 2007: 168-174

Jeff Sinclair, Philip Hingston, Martin Masek: Considerations for the design of exergames. GRAPHITE 2007: 289-295

R. Lyndon While, Philip Hingston, Luigi Barone, Simon Huband: A faster algorithm for calculating hypervolume. IEEE Trans. Evolutionary Computation 10(1): 29-38 (2006)

Simon Huband, Philip Hingston, Luigi Barone, R. Lyndon While: A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans. Evolutionary Computation 10(5): 477-506 (2006)

Simon Huband, R. Lyndon While, David Tuppurainen, Philip Hingston, Luigi Barone, Ted Bearman: Economic Optimisation of an Ore Processing Plant with a Constrained Multi-objective Evolutionary Algorithm. Australian Conference on Artificial Intelligence 2006: 962-969

Philip Hingston, Barbara Combes, Martin Masek: Teaching an Undergraduate AI Course with Games and Simulation. Edutainment 2006: 494-506

Philip Hingston, Luigi Barone, Simon Huband, R. Lyndon While: Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation. PPSN 2006: 563-572

Philip Hingston, Graham Kendall: Enumerating knight's tours using an ant colony algorithm. Congress on Evolutionary Computation 2005: 1003-1010

Simon Huband, Luigi Barone, Philip Hingston, R. Lyndon While, David Tuppurainen, Richard Bearman: Designing comminution circuits with a multi-objective evolutionary algorithm. Congress on Evolutionary Computation 2005: 1815-1822

R. Lyndon While, Lucas Bradstreet, Luigi Barone, Philip Hingston: Heuristics for optimizing the calculation of hypervolume for multi-objective optimization problems. Congress on Evolutionary Computation 2005: 2225-2232

Simon Huband, Luigi Barone, R. Lyndon While, Philip Hingston: A Scalable Multi-objective Test Problem Toolkit. EMO 2005: 280-295

Philip Hingston, Graham Kendall: Ant Colonies Discover Knight's Tours. Australian Conference on Artificial Intelligence 2004: 1213-1218

Philip Hingston, Luigi Barone: Hawks, Doves and Lifetime Reproductive Success. PPSN 2004: 862-871

Philip Hingston: Using Finite State Automata for Sequence Mining. ACSC 2002: 105-110

Philip Hingston, R. Lyndon While: A Dynamic Communication Algorithm for Digital Halftoning. ACSC 2002: 111-118

Luigi Barone, R. Lyndon While, Philip Hingston: Designing Crushers With A Multi-objective Evolutionary Algorithm. GECCO 2002: 995-1002

Philip Hingston: Inference of Regular Languages using Model Simplicity. ACSC 2001: 69-76

Matthew A. F. McDonald, Philip Hingston: Discounted Reinforcement Learning Does Not Scale. Computational Intelligence 13(1): 126-143 (1997)

Ross Wilkinson, Philip Hingston: Using the Cosine Measure in a Neural Network for Document. SIGIR 1991: 202-210

Philip Hingston, Ross Wilkinson: A Distributed Join Algorithm. Inf. Process. Lett. 33(6): 313-317 (1990)